Data & Analytics

Revenue, margin, inventory and headcount are defined a little differently in each system and each report. We agree the definitions, bring SAP data together with everything else under proper controls, and give leaders reporting they can rely on.

Talk to an advisor How we deliver it

Data, analytics & transformation

Why leadership teams bring this to us

Finance data lives in SAP; customer, workforce and market data live elsewhere. Every reconciliation takes time, finance and operations bring different numbers to the same meeting, and every disagreement chips away at trust in the numbers.

What the service covers

Data strategy and governance
Ownership, definitions, quality standards and lifecycle for each data domain.
SAP data integration
Governed extraction and modeling of SAP data into an enterprise data platform, keeping its business meaning intact.
Reporting and business intelligence
Executive and operational reporting built on shared definitions, with self-service where it helps.
Metric harmonization
Agreed definitions for the measures leadership uses, each with an owner.
Data foundations for AI
The quality, lineage and access controls AI use cases depend on.

How we deliver it

01
Assess
Baseline data quality, definitions and the reporting landscape.
02
Agree
Definitions for the measures leadership uses, with owners, in a metric dictionary.
03
Integrate
SAP data brought into the enterprise data platform under governance.
04
Report
Reporting rebuilt on the shared definitions, with self-service where it helps.

What you should expect to change

Numbers that agree
Finance and operations work from the same definitions.
Less reconciliation
Time spent reconciling reports goes to acting on them.
SAP data in context
SAP data combined with other sources without losing its meaning.
Ready for AI
Use cases start from data with known quality and lineage.